Parameter Estimation of a Three Phase Induction Machine with a Solid Copper-Coated Rotor and a Large Air Gap

2020 ◽  
Author(s):  
Christiane Mellak ◽  
Josef Deuringer ◽  
Annette Muetze
Keyword(s):  
Parameter Estimation ◽  
Induction Machine ◽  
Air Gap ◽  
Three Phase ◽  
Solid Copper

Design and Parameter Estimation of a Three Phase Induction Motor Using a User-Interactive Computer Programme

2009 ◽  
Vol 62-64 ◽  
pp. 126-134
Author(s):  
E.U. Ubeku ◽  
E.A. Ogujor
Keyword(s):  
Parameter Estimation ◽  
Induction Motor ◽  
Iterative Procedure ◽  
Equivalent Circuit Model ◽  
Air Gap ◽  
Design Parameters ◽  
Design Algorithm ◽  
Finite Element Software ◽  
Three Phase ◽  
Performance Curves

This paper presents the use of a user-interactive MATLAB programme for the design and the parameter estimation of a three-phase induction motor (TPIM) using a per phase equivalent circuit model. Optimum design parameters such as the bore diameter, the rotor diameter, the slot dimensions, the air-gap length and the performance curves are obtained by iterative procedure of a design algorithm. The performance curves of the TPIM i.e., torque and efficiency are drawn from the model’s per phase parameters and then analyzed for different number of poles, number of slots ,varying air-gap, rated slip etc and their effect on the performance of the TPIM are analyzed and the results discussed. The results obtained were validated with similar studies carried out using finite element software FEMM. The comparison shows that the TPIM model is satisfactory.

scholarly journals Assessment of Capacitance for Self-Excited Induction Generator in Sustaining Constant Air-Gap Voltage under Variable Speed and Load

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2509 ◽  
Author(s):  
Ashish Sharma ◽  
Gagandeep Kaur
Keyword(s):  
Reactive Power ◽  
Promising Result ◽  
Induction Machine ◽  
Air Gap ◽  
Induction Generator ◽  
Variable Speed ◽  
Intelligent Technique ◽  
Three Phase ◽  
Fuzzy Logic Technique ◽  
Selection Of

The concept of a Self-Excited Induction Generator (SEIG) has introduced the concept of the placement of an induction machine for power generation in an isolated mode with external capacitance. The produced output voltage and generated frequency in an SEIG greatly depends on speed, load, and terminal capacitance. To maintain constant air-gap voltage against a varying speed and load, a corresponding supply of reactive power through capacitors is needed. The selection of the required capacitance while there is continuous variation of vital parameters needs a rigorous random-selection method. In this paper, an intelligent selection of suitable additional capacitance has been made by using the Fuzzy Logic Technique for a Three-Phase 5.0 HP SEIG. Additional capacitance in the range of 14.79–22.47 μF is compulsory under a varying load of 427−101 ohms, and additional capacitance in the range of 13.70–22.59 μF is essential for a varying speed of 1349 to 1672 RPM. With this promising result, we propose the implementation of this intelligent technique in place of analytical and standard methods for capacitance selection.

scholarly journals Optimization of Air Gap Length and Capacitive Auxiliary Winding in Three-Phase Induction Motors Based on a Genetic Algorithm

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4407
Author(s):  
Mbika Muteba
Keyword(s):  
Genetic Algorithm ◽  
Design Process ◽  
Power Factor ◽  
High Speed ◽  
High Efficiency ◽  
Air Gap ◽  
Element Analysis ◽  
Three Phase ◽  
High Torque ◽  
Cage Induction Motor

There is a necessity to design a three-phase squirrel cage induction motor (SCIM) for high-speed applications with a larger air gap length in order to limit the distortion of air gap flux density, the thermal expansion of stator and rotor teeth, centrifugal forces, and the magnetic pull. To that effect, a larger air gap length lowers the power factor, efficiency, and torque density of a three-phase SCIM. This should inform motor design engineers to take special care during the design process of a three-phase SCIM by selecting an air gap length that will provide optimal performance. This paper presents an approach that would assist with the selection of an optimal air gap length (OAL) and optimal capacitive auxiliary stator winding (OCASW) configuration for a high torque per ampere (TPA) three-phase SCIM. A genetic algorithm (GA) assisted by finite element analysis (FEA) is used in the design process to determine the OAL and OCASW required to obtain a high torque per ampere without compromising the merit of achieving an excellent power factor and high efficiency for a three-phase SCIM. The performance of the optimized three-phase SCIM is compared to unoptimized machines. The results obtained from FEA are validated through experimental measurements. Owing to the penalty functions related to the value of objective and constraint functions introduced in the genetic algorithm model, both the FEA and experimental results provide evidence that an enhanced torque per ampere three-phase SCIM can be realized for a large OAL and OCASW with high efficiency and an excellent power factor in different working conditions.

Double Three-phase Induction Machine Modeling for Internal Faults Simulation

2015 ◽  
Vol 43 (14) ◽  
pp. 1610-1620 ◽  
Author(s):  
Daniel Foito ◽  
José Maia ◽  
V. Fernão Pires ◽  
João F. Martins
Keyword(s):  
Induction Machine ◽  
Machine Modeling ◽  
Three Phase ◽  
Internal Faults
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